layer_lines: Plot connection weights
In NeuralNetTools: Visualization and Analysis Tools for Neural Networks

Plot connection weights in plotnet

layer_lines(
  mod_in,
  h_layer,
  layer1 = 1,
  layer2 = 2,
  out_layer = FALSE,
  nid,
  rel_rsc,
  all_in,
  pos_col,
  neg_col,
  x_range,
  y_range,
  line_stag,
  x_names,
  layer_x,
  struct,
  max_sp,
  prune_col = NULL,
  prune_lty = "dashed",
  skip
)

`mod_in`	neural network model object
`h_layer`	numeric indicating which connections to plot for the layer
`layer1`	numeric indicating order of first layer (for multiple hiden layers)
`layer2`	numeric indicating order of second layer (for multiple hiden layers)
`out_layer`	logical indicating if the lines are for the output layer
`nid`	logical value indicating if neural interpretation diagram is plotted, default `TRUE`
`rel_rsc`	numeric indicating the scaling range for the width of connection weights in a neural interpretation diagram. Default is `NULL` for no rescaling.
`all_in`	chr string indicating names of input variables for which connections are plotted, default all
`pos_col`	chr string indicating color of positive connection weights, default `'black'`
`neg_col`	chr string indicating color of negative connection weights, default `'grey'`
`x_range`	numeric of x axis range for base plot
`y_range`	numeric of y axis range for base plot
`line_stag`	numeric value that specifies distance of connection weights from nodes
`x_names`	chr string for names of input variables
`layer_x`	numeric indicating locations of layers on x axis
`struct`	numeric vector for network structure
`max_sp`	logical indicating if space is maximized in plot
`prune_col`	chr string indicating color of pruned connections, otherwise not shown
`prune_lty`	line type for pruned connections, passed to `segments`
`skip`	logical to plot connections for skip layer